Title :
Online knowledge sharing - investigating the antecedents of frequency and intensity
Author_Institution :
Nanyang Technol. Univ., Singapore, Singapore
Abstract :
This study proposes a model identifying the differential antecedents of employees´ online knowledge sharing frequency and intensity. Preliminary findings indicate that frequency is influenced by knowledge renewal, while intensity is influenced by knowledge diversity. Knowledge renewal and diversity are influenced by different job characteristics.
Keywords :
knowledge management; personnel; employee online knowledge sharing frequency; employee online knowledge sharing intensity; job characteristics; knowledge diversity; knowledge renewal; Cultural differences; Frequency diversity; Industries; Knowledge management; Load modeling; Mathematical model; Organizations; job characteristics; online knowledge sharing;
Conference_Titel :
Research Challenges in Information Science (RCIS), 2015 IEEE 9th International Conference on
DOI :
10.1109/RCIS.2015.7128927
